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Institution

National Institute of Technology, Silchar

EducationSilchar, Assam, India
About: National Institute of Technology, Silchar is a education organization based out in Silchar, Assam, India. It is known for research contribution in the topics: Control theory & Electric power system. The organization has 1934 authors who have published 4219 publications receiving 41149 citations. The organization is also known as: NIT Silchar.


Papers
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Journal ArticleDOI
TL;DR: Comparison of the results achieved with the proposed algorithm demonstrates its superiority over other recently reported five algorithms like GA, PSO, BFO, F-BFO with Least Square (LS), and BFO–RLS in terms of accuracy, convergence and computational time.

26 citations

Journal ArticleDOI
TL;DR: In this paper, a single band circularly polarized (CP) rectenna operates at a 2.45 GHz band, using a hexagonal shape of a microstrip radiator and a voltage doubler rectifier for smart c...
Abstract: This article proposes a single band circularly polarized (CP) rectenna operate at a 2.45 GHz Wi-Fi band, using a hexagonal shape of a microstrip radiator and a voltage doubler rectifier for smart c...

26 citations

Journal ArticleDOI
TL;DR: In this paper, the effect of chiral vector, metal work function, channel length and High-K dielectric on threshold voltage of carbon nanotubes (CNTFET) was analyzed.

26 citations

Journal Article
TL;DR: In this paper, a coordinated control strategy among the generating units in an autonomous hybrid power system comprising of wind turbine generator (WTG), the photovoltaic system (PV), diesel engine generator (DEG), battery energy storage system (BESS), and superconducting magnetic energy storage (SMES) is presented.
Abstract: Integration of the wind and solar power in an autonomous hybrid power system poses significant impacts on the system frequency affecting relay operation, consequence load disconnections, generation outage etc. leading to system collapse. An appropriate control strategy needs to be developed to maintain the system frequency within the permissible limit thus maintaining the stability of the power system. This paper presents a coordinated control strategy among the generating units in an autonomous hybrid power system comprising of wind turbine generator (WTG), the photovoltaic system (PV), diesel engine generator (DEG), battery energy storage system (BESS) and superconducting magnetic energy storage (SMES). Proportional-Integral (PI) and Proportional-Integral-Derivative (PID) are employed with DEG, BESS, and SMES so as to adjust the output power in response to the change in loading and or output power variation of renewable sources. The parameters of the controllers are optimized using Flower Pollination Algorithm (FPA). The system dynamic responses obtained the PI and PID controllers are compared. Simulation results revealed that FPA optimized PID controller outperform PI controller. Further, to check the robustness of the controllers, sensitivity analysis has been carried out.

26 citations

Journal ArticleDOI
TL;DR: The proposed ELMVSGA technique which combines the tracking ability of variable steepest gradient ascent and the accuracy of a noniterative artificial neural network has shown a better tracking ability to track the maximum power point with greater accuracy under PV uncertainties.

26 citations


Authors

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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202335
2022149
2021947
2020742
2019596
2018451